Research blog

Arcada at EMS2025 conference in Stockholm

For three days, the front dock of the Waterfront Congress Center in downtown Stockholm swarmed with Swedish ambulance units, splashing blue lights onto the high center walls like an urban art show, while emergency professionals walked in and out at a brisk pace. The EMS 2025 congress filled the center halls with sessions on around emergency care, keynotes from Lee Wallis of WHO, and Sofia Iveslätt of Medicines sans Frontiers, who highlighted the need for basic education and working in war-torn areas.

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Artificial intelligence in elderly care: a double-edged innovation?

This blog post summarises key findings of our bachelor’s thesis in healthcare AI-driven Technologies in Elderly Care: Benefits and Challenges (Mitra & Alam, 2025). The thesis aimed to explore recent developments in the use of AI-based tools in elderly care.

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It takes a system to save a life – reflections from EMS2025

The EMS2025 conference in Stockholm in June was jam-packed with content by global and local experts from the European Emergency Medical Services (EMS) field, sparking consideration of some of the main points that EMS will need to consider developing in the future. Based on our perspective, what are some main take-home messages from all of this?

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Conversations of simulation: lessons from SESAM 2025 in Valencia

SESAM conferences have become a crucial keystone in the continuous development and conversations around simulation in healthcare. The Society for Simulation in Europe, or SESAM, is one of the biggest global societies in simulation. This year, SESAM 2025 was hosted in Valencia.

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Exploring the competencies nurses need to work in virtual wards

According to Wheeldon (2023), nurses struggle to adapt to remote patient care. This raises concerns about their ability to manage the development process effectively, considering their competence, workload, and the need to ensure patient safety.

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Health literacy and artificial intelligence literacy in the context of health equity

Integration of Artificial Intelligence (AI) in higher education (HE) has been gaining momentum in recent years, promising to revolutionise the way we learn, teach, and interact within academic institutions. AI holds significant potential in social and health care HE by enabling learning environments that foster ethical reasoning, reflective practice, and responsible decision-making in complex care situations.

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AI-driven technologies for human wellbeing

In mental health, AI tools provide timely support and bridge gaps in traditional care. This blog post explores the intersection of AI-enhanced user experience and its implications for mental health support, by reporting from a Blended Intensive Program (BIP) in Estonia, where prototypes were developed by international students for a local startup company.

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